{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:21:58Z","timestamp":1757312518537,"version":"3.37.3"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T00:00:00Z","timestamp":1589932800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T00:00:00Z","timestamp":1589932800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s11760-020-01696-2","type":"journal-article","created":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T15:03:58Z","timestamp":1589987038000},"page":"1565-1572","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Fast gradient descent algorithm for image classification with neural networks"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9947-1408","authenticated-orcid":false,"given":"Abdelkrim","family":"El Mouatasim","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,20]]},"reference":[{"issue":"1","key":"1696_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1\u201327 (2009)","journal-title":"Found. Trends Mach. Learn."},{"key":"1696_CR2","unstructured":"Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L.D., Monfort, M., Muller, U., Zhang, J., et al.: End to End Learning for Self-driving Cars (2016). arXiv:1604.07316"},{"key":"1696_CR3","doi-asserted-by":"crossref","unstructured":"Botev, A., Lever, G., Barber, D.: Nesterov\u2019s accelerated gradient and momentum as approximations to regularised update descent. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 1899\u20131903 (2017)","DOI":"10.1109\/IJCNN.2017.7966082"},{"key":"1696_CR4","doi-asserted-by":"publisher","first-page":"012027","DOI":"10.1088\/1742-6596\/1004\/1\/012027","volume":"1004","author":"N Cui","year":"2018","unstructured":"Cui, N.: Applying gradient descent in convolutional neural networks. J. Phys. Conf. Ser. 1004, 012027 (2018)","journal-title":"J. Phys. Conf. Ser."},{"issue":"8","key":"1696_CR5","first-page":"695","volume":"9","author":"A Chen","year":"2013","unstructured":"Chen, A., Xu, X., Ryu, S., Zhou, Z.: A self-adaptive Armijo stepsize strategy with application to traffic assignment models and algorithms. Transp. A Transp. Sci. 9(8), 695\u2013712 (2013)","journal-title":"Transp. A Transp. Sci."},{"key":"1696_CR6","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.amc.2013.10.024","volume":"226","author":"A El Mouatasim","year":"2014","unstructured":"El Mouatasim, A., Ellaia, R., Souza de Cursi, J.E.: Stochastic perturbation of reduced gradient & GRG methods for nonconvex programming problems. J. Appl. Math. Comput. 226, 198\u2013211 (2014)","journal-title":"J. Appl. Math. Comput."},{"key":"1696_CR7","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s11760-015-0815-z","volume":"9","author":"A El Mouatasim","year":"2015","unstructured":"El Mouatasim, A., Wakrim, M.: Control subgradient algorithm for image regularization. J. Signal Image Video Process. (SIViP) 9, 275\u2013283 (2015)","journal-title":"J. Signal Image Video Process. (SIViP)"},{"issue":"6","key":"1696_CR8","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1007\/s11760-019-01453-0","volume":"13","author":"A El Mouatasim","year":"2019","unstructured":"El Mouatasim, A.: Control proximal gradient algorithm for $$\\ell _1$$ regularization image. J. Signal Image Video Process. (SIViP) 13(6), 1113\u20131121 (2019)","journal-title":"J. Signal Image Video Process. (SIViP)"},{"key":"1696_CR9","doi-asserted-by":"crossref","unstructured":"Evans, B., Al-Sahaf, H., Xue, B., Zhang, M.: Evolutionary deep learning: a genetic programming approach to image classification. In: IEEE Congress on Evolutionary Computation, pp. 1\u20136 (2018)","DOI":"10.1109\/CEC.2018.8477933"},{"issue":"5786","key":"1696_CR10","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"1696_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-06073-2","volume-title":"Deep Learning: Fundamentals, Theory and Applications","author":"K Huang","year":"2019","unstructured":"Huang, K., Hussain, A., Wang, Q., Zhang, R.: Deep Learning: Fundamentals, Theory and Applications. Springer, Berlin (2019)"},{"key":"1696_CR12","unstructured":"LeCun, Y., Cortes, C.: MNIST Handwritten Digit Database. AT&T Labs, vol. 2. (2010). http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"issue":"1","key":"1696_CR13","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1049\/iet-ipr.2018.5956","volume":"13","author":"P Li","year":"2019","unstructured":"Li, P., Lee, S., Park, J.: Development of a global batch clustering with gradient descent and initial parameters in colour image classification. IET Image Process 13(1), 161\u2013174 (2019)","journal-title":"IET Image Process"},{"key":"1696_CR14","doi-asserted-by":"crossref","unstructured":"Liu, G., Xiao, L., Xiong, C.: Image classification with deep belief networks and improved gradient descent. In: International Conference on Embedded and Ubiquitous Computing (2017)","DOI":"10.1109\/CSE-EUC.2017.74"},{"key":"1696_CR15","unstructured":"MacLean, J., Tsotsos, J.: Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid. IEEE (2000)"},{"key":"1696_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8853-9","volume-title":"Introduction Lectures on Convex Optimization: A Basic Course","author":"Y Nesterov","year":"2004","unstructured":"Nesterov, Y.: Introduction Lectures on Convex Optimization: A Basic Course, vol. 87. Springer, Berlin (2004)"},{"issue":"3","key":"1696_CR17","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"1696_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17076-9","volume-title":"Mathematical Theories of Machine Learning: Theory and Applications","author":"B Shi","year":"2020","unstructured":"Shi, B., Lyengar, S.S.: Mathematical Theories of Machine Learning: Theory and Applications. Springer, Berlin (2020)"},{"key":"1696_CR19","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1016\/j.procs.2015.02.091","volume":"46","author":"BK Singh","year":"2015","unstructured":"Singh, B.K., Verma, K., Thoke, A.S.: Adaptive gradient descent backpropagation for classification of breast tumors in ultrasound imaging. Proc. Comput. Sci. 46, 1601\u20131609 (2015)","journal-title":"Proc. Comput. Sci."},{"issue":"2","key":"1696_CR20","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/BF00939925","volume":"71","author":"SP Uryas\u2019ev","year":"1991","unstructured":"Uryas\u2019ev, S.P.: New variable-metric algorithms for nondifferentiable optimization problems. J. Optim. Theory Appl. 71(2), 359\u2013388 (1991)","journal-title":"J. Optim. Theory Appl."},{"issue":"10","key":"1696_CR21","first-page":"29","volume":"8","author":"L Xinhua","year":"2015","unstructured":"Xinhua, L., Qian, Y.: Face recognition based on deep neural network. Int. J. Signal Process. Image Process. Pattern Recognit. 8(10), 29\u201338 (2015)","journal-title":"Int. J. Signal Process. Image Process. Pattern Recognit."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-020-01696-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-020-01696-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-020-01696-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T07:41:59Z","timestamp":1621496519000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-020-01696-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,20]]},"references-count":21,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["1696"],"URL":"https:\/\/doi.org\/10.1007\/s11760-020-01696-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2020,5,20]]},"assertion":[{"value":"11 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 March 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 April 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}